videomae-base-finetuned-ucf101-subset – AI Model by badhan0951 | AlphaNeural AI

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badhan0951/
videomae-base-finetuned-ucf101-subset

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video-classification

generated_from_trainer

MCG-NJU/videomae-base

endpoints_compatible

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videomae-base-finetuned-ucf101-subset

This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5926
Accuracy: 0.7895

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 228

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6882	0.1272	29	0.6387	0.7067
0.6162	1.1272	58	0.6825	0.6667
0.6925	2.1272	87	0.6619	0.6667
0.598	3.1272	116	0.6190	0.6667
0.5897	4.1272	145	0.6271	0.6667
0.6333	5.1272	174	0.6206	0.6667
0.5614	6.1272	203	0.6193	0.6667
0.6856	7.1096	228	0.6110	0.6667

Framework versions

Transformers 4.42.4
Pytorch 2.2.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1